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Other Biomedical Engineering and Bioengineering Commons™
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- Alzheimer’s Disease (AD) (1)
- Amygdala (1)
- Gaussian Map (1)
- Gaussian curvature (1)
- Gaussian shape operator (1)
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- Hippocampus (1)
- Japanese pagoda tree extract Zinc oxide NPs Ca-BDC MOF (1)
- Magnetic Resonance Imaging (MRI) (1)
- Mean curvature (1)
- Non-synonymous single nucleotide variants (nsSNVs) Pathogenic Neutral Integrated rules classifier ISTJRip ISTJ48 ISTRF ISTSVM VaribenchSelectedPure (1)
- Shape features (1)
- Support Vector Machine (SVM). (1)
- Tranexamic acid PVA/PLA nanofibers Electrospinning Wound healing (1)
Articles 1 - 4 of 4
Full-Text Articles in Other Biomedical Engineering and Bioengineering
Smart Dressings Accelerating Wound Healing With Tranexamic Acid-Infused Aligned Electrospun Nanofibers: In Vitro And In Vivo Assessments, Samar A. Salim, Abdullah Elbadry, Eman Gomaa, Mennatullah Faisal, Elbadawy A. Kamoun
Smart Dressings Accelerating Wound Healing With Tranexamic Acid-Infused Aligned Electrospun Nanofibers: In Vitro And In Vivo Assessments, Samar A. Salim, Abdullah Elbadry, Eman Gomaa, Mennatullah Faisal, Elbadawy A. Kamoun
Nanotechnology Research Centre
The development of advanced wound dressings capable of accelerating healing and achieving effective hemostasis remains a critical challenge in managing traumatic and surgical wounds. This study reports the fabrication and comprehensive evaluation of a novel multilayered, sandwich-structured nanofiber scaffold composed of Tranexamic acid (TXA), chitosan (CS), polyvinyl alcohol (PVA), L-arginine, and polylactic acid (PLA) for biodegradable wound dressing applications. Using sequential electrospinning, a four-layered scaffold was developed as a smart wound dressing, comprising an immediate-release TXA-CS-PVA layer for rapid clotting, a hydrophobic PLA barrier layer for protection, a sustained-release L-arginine-PVA layer to promote tissue regeneration, and a final PLA protective …
Optimizing Hydrogel Performance Composed Of Japanese Pagoda Tree Extract Loaded-Gelatin-Sodium Alginate-Polyethylene Oxide For Biomedical Applications: Influence Incorporated Calcium-Based Metal Organic Frameworks And Zinc Oxide Nps, Samar A. Salim
Nanotechnology Research Centre
Gelatin/sodium alginate/polyethylene oxide hydrogel was synthesized by self-gelation method and utilized to achieve enhanced mechanical strength. Japanese pagoda, tree extracts rich in flavonoids and isoflavonoids was incorporated to enhance tissue repair along with ZnO-NPs to provide the hydrogel with necessary antimicrobial and other desirable biological properties. The inclusion of Ca-BDC MOF enhanced hydrogel matrix by providing more surface area and the presence of calcium ion needed for tissue regeneration. Results revealed that composite hydrogel displayed suitable gelation time and swelling rate that was further improved by incorporating the plant extract, ZnO-NPs, and Ca-BDC MOF. The efficacy of the tested formulations …
Integrated Rules Classifier For Predicting Pathogenic Non-Synonymous Single Nucleotide Variants In Human, Ahmed Barakat Hosseny, Marwa Said Hassan, A A. Shalan, Shymaa Khamis, M I. Dessouky
Integrated Rules Classifier For Predicting Pathogenic Non-Synonymous Single Nucleotide Variants In Human, Ahmed Barakat Hosseny, Marwa Said Hassan, A A. Shalan, Shymaa Khamis, M I. Dessouky
Basic Science Engineering
The most prevalent kind of genetic variants in humans are non-synonymous single nucleotide variants (nsSNVs). Several prediction tools have been launched to forecast the effect of amino acid substitutes on human protein function. These tools sort variants as pathogenic or neutral. We developed an Integrated Rules Classifier (Integration Score through JRip “ISTJRip”), which integrates the four individual tools that are publicly available; iFish, Mutation Assessor, FATHMM, and SIFT-based on the JRip machine learning technique. Additionally, we compared the ISTJRip approach with the other three created integration classifiers; Integration Score through J48 “ISTJ48”, Integration Score through RF “ISTRF”, and Integration …
Hierarchical Based Classifcation Method Based On Fusion Ofgaussian Map Descriptors Foralzheimer Diagnosis Using T1‑Weighted Magnetic Resonance Imaging, Nourhan Zayed, Shereen E. Morsy, Inas A. Yassine
Hierarchical Based Classifcation Method Based On Fusion Ofgaussian Map Descriptors Foralzheimer Diagnosis Using T1‑Weighted Magnetic Resonance Imaging, Nourhan Zayed, Shereen E. Morsy, Inas A. Yassine
Mechanical Engineering
Alzheimer’s disease (AD) is considered one of the most spouting elderly diseases. In 2015, AD is reported the US’s sixth cause of death. Substantially, non-invasive imaging is widely employed to provide biomarkers supporting AD screening, diagnosis, and progression. In this study, Gaussian descriptors-based features are proposed to be efcient new biomarkers using Magnetic Resonance Imaging (MRI) T1-weighted images to diferentiate between Alzheimer’s disease (AD), Mild Cognitive Impairment (MCI), and Normal controls (NC). Several Gaussian map-based features are extracted such as Gaussian shape operator, Gaussian curvature, and mean curvature. The aforementioned features are then introduced to the Support Vector Machine (SVM). …